where \(I\)  is an identity matrix and \(\cdot \)  is matrix multiplication.
At last, we adopt Set Pooling (SP) and Horizontal Pyramid Pooling (HPP) in GaitSet [1]} to aggregate \(\widehat{\mathbf {F}_i}\)  into the final feature vector for sequence-to-sequence matching.
For more details of the SMPLGait framework, please refer to the supplementary material.
